COVID-19 Detection by Optimizing Deep Residual Features with Improved Clustering-Based Golden Ratio Optimizer.

Soham Chattopadhyay,Zong Woo Geem,Arijit Dey,Pawan Kumar Singh,Ram Sarkar

doi:10.3390/diagnostics11020315

Soham Chattopadhyay, Zong Woo Geem + Show 3 more

Open Access

https://doi.org/10.3390/diagnostics11020315

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Abstract

The COVID-19 virus is spreading across the world very rapidly. The World Health Organization (WHO) declared it a global pandemic on 11 March 2020. Early detection of this virus is necessary because of the unavailability of any specific drug. The researchers have developed different techniques for COVID-19 detection, but only a few of them have achieved satisfactory results. There are three ways for COVID-19 detection to date, those are real-time reverse transcription-polymerize chain reaction (RT-PCR), Computed Tomography (CT), and X-ray plays. In this work, we have proposed a less expensive computational model for automatic COVID-19 detection from Chest X-ray and CT-scan images. Our paper has a two-fold contribution. Initially, we have extracted deep features from the image dataset and then introduced a completely novel meta-heuristic feature selection approach, named Clustering-based Golden Ratio Optimizer (CGRO). The model has been implemented on three publicly available datasets, namely the COVID CT-dataset, SARS-Cov-2 dataset, and Chest X-Ray dataset, and attained state-of-the-art accuracies of 99.31%, 98.65%, and 99.44%, respectively.

Highlights

The Coronavirus was first noticed in Wuhan city, China
These evaluation metrics are dependent on some primary measures, which are True Positive (TP), True Negative (TN), False Positive (FP), and False Negative (FN)
This feature selection (FS) method has been evaluated on three popular and publicly available X-ray and Computed Tomography (CT)-scan images that are related to COVID-19, namely SARS-Cov-2, COVID-CT, and Chest X-Ray dataset

Summary

Introduction

The Coronavirus was first noticed in Wuhan city, China. Other than Antarctica, almost every continent has been more or less affected. Scientists predict that the virus originated from zoonotic natured animals. The origin of this virus is not yet been discovered [1]. The first infected person was from Wuhan market in Hubei province and it eventually spread across the globe [2]. This virus has evolved itself in the recent decades, in 2002 it was known as Severe Acute Respiratory Syndrome Coronavirus (SARS-CoV) and in 2012 it was known as the Middle East Respiratory Syndrome Coronavirus. In 2019, the World Health Organization (WHO) that declared an unknown etiology had been detected in the city of Wuhan, which is a novel coronavirus, named 2019 coronavirus (2019nCoV), and that can cause severe pneumonia [3]. In 2020, the International Committee on Taxonomy of Virus (ICTV) announced the 2019 coronavirus as SARS-Cov-2, and the disease as Coronavirus disease 2019 [4,5]

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